CAREER: Improved Measurement of Dayside Magnetospheric Reconnection
职业:改进日侧磁层重联的测量
基本信息
- 批准号:9983402
- 负责人:
- 金额:$ 21.37万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2000
- 资助国家:美国
- 起止时间:2000-08-01 至 2006-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This is a CAREER award to create a space physics research program for undergraduate physics and physics education majors at Southeastern Louisiana University. The educational objective is to use the proposed research project as a vehicle to have the PI mentor undergraduate students as an adjunct to their regular course work. The scientific objective is to combine data from the Sondrestrom Incoherent Scatter Radar and Super Dual Auroral Radar Network (SuperDARN) to measure the rate of magnetic reconnection between the interplanetary magnetic field and Earth's magnetosphere more accurately and over a larger magnetic local time than is possible using either instrument independently. Through statistical analysis of the reconnection rate measurements before and after the onset of a large number of geomagnetic substorms, the investigators will test the hypothesis that substorms are often triggered by reductions in magnetospheric convection, which is driven by reconnection. If the hypothesis is true, the project will develop criteria that will allow actual prediction of substorms. The funds will provide student stipends, both during the academic year and summer, so that students can travel to conduct research and attend scientific conferences to present results.
这是一个职业奖,为东南路易斯安那大学的物理和物理教育专业的本科生创建一个空间物理研究计划。 教育目标是使用拟议的研究项目作为一种工具,有PI导师本科生作为他们的常规课程工作的辅助。 科学目标是将来自Sondrestrom非相干散射雷达和超级双极光雷达网的数据联合收割机结合起来,以便比单独使用任何一种仪器更准确地测量行星际磁场与地球磁层之间的磁场重联率,并在更长的磁局部时间内进行测量。 通过对大量地磁亚暴发生前后的重连率测量值进行统计分析,调查人员将检验这样一种假设,即亚暴往往是由重连驱动的磁层对流减少引发的。 如果假设是真的,该项目将制定标准,将允许亚暴的实际预测。这些资金将在学年和夏季提供学生津贴,以便学生可以旅行进行研究并参加科学会议以展示结果。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Gerard Blanchard其他文献
Non-photochemical quenching in epipsammic and epipelic microalgal assemblages from two marine ecosystems
- DOI:
10.1016/j.csr.2016.12.013 - 发表时间:
2017-03-15 - 期刊:
- 影响因子:
- 作者:
Filip F. Pniewski;Pierre Richard;Adam Latała;Gerard Blanchard - 通讯作者:
Gerard Blanchard
Gerard Blanchard的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Gerard Blanchard', 18)}}的其他基金
CEDAR: High-Spectral Width High Frequency (HF) Radar Ionospheric Backscatter with Coordinated Incoherent Scatter Radar (ISR) Diagnostic Observations
CEDAR:高谱宽高频 (HF) 雷达电离层反向散射与协调非相干散射雷达 (ISR) 诊断观测
- 批准号:
0535377 - 财政年份:2006
- 资助金额:
$ 21.37万 - 项目类别:
Continuing Grant
相似海外基金
Improved financial risk measurement via dependence modeling
通过依赖模型改进财务风险衡量
- 批准号:
RGPIN-2020-05784 - 财政年份:2022
- 资助金额:
$ 21.37万 - 项目类别:
Discovery Grants Program - Individual
Improved financial risk measurement via dependence modeling
通过依赖模型改进财务风险衡量
- 批准号:
RGPIN-2020-05784 - 财政年份:2021
- 资助金额:
$ 21.37万 - 项目类别:
Discovery Grants Program - Individual
Quantitative Measurement of Wildfire Behavior in the Field: Leveraging Remote Sensing for Reproducible Observation and Improved Understanding
现场野火行为的定量测量:利用遥感进行可重复的观测并增进理解
- 批准号:
2053619 - 财政年份:2021
- 资助金额:
$ 21.37万 - 项目类别:
Continuing Grant
Improved financial risk measurement via dependence modeling
通过依赖模型改进财务风险衡量
- 批准号:
RGPIN-2020-05784 - 财政年份:2020
- 资助金额:
$ 21.37万 - 项目类别:
Discovery Grants Program - Individual
Improved financial risk measurement via dependence modeling
通过依赖模型改进财务风险衡量
- 批准号:
DGECR-2020-00352 - 财政年份:2020
- 资助金额:
$ 21.37万 - 项目类别:
Discovery Launch Supplement
Collaborative Research: Measurement of Particle Aggregation in Laboratory-scale Flows for Improved Models of Volcanic Ash Fallout and Entrainment
合作研究:测量实验室规模流动中的颗粒聚集,以改进火山灰沉降和夹带模型
- 批准号:
1756068 - 财政年份:2018
- 资助金额:
$ 21.37万 - 项目类别:
Continuing Grant
Collaborative Research: Improved Freeform Measurement through Fiber-based Metrology
合作研究:通过基于光纤的计量改进自由形状测量
- 批准号:
1902697 - 财政年份:2018
- 资助金额:
$ 21.37万 - 项目类别:
Standard Grant
Collaborative Research: Measurement of Particle Aggregation in Laboratory-scale Flows for Improved Models of Volcanic Ash Fallout and Entrainment
合作研究:测量实验室规模流动中的颗粒聚集,以改进火山灰沉降和夹带模型
- 批准号:
1756267 - 财政年份:2018
- 资助金额:
$ 21.37万 - 项目类别:
Continuing Grant
Collaborative Research: Measurement of Particle Aggregation in Laboratory-scale Flows for Improved Models of Volcanic Ash Fallout and Entrainment
合作研究:测量实验室规模流动中的颗粒聚集,以改进火山灰沉降和夹带模型
- 批准号:
1756259 - 财政年份:2018
- 资助金额:
$ 21.37万 - 项目类别:
Continuing Grant
Improved measurement of the neutral pion decay into electron, positron and photon, and optimisation of the kaon tagger using hydrogen in NA62.
改进了中性π介子衰变成电子、正电子和光子的测量,并在 NA62 中使用氢优化了 kaon 标记器。
- 批准号:
2128979 - 财政年份:2018
- 资助金额:
$ 21.37万 - 项目类别:
Studentship